Use CaseS

HPC + AI

Ensuring Data Confidentiality in HPC Clusters with Invary

In high-performance computing (HPC) environments, where immense computational power is applied to process vast amounts of data, ensuring data confidentiality is paramount. These clusters often serve multiple tenants and handle sensitive workloads for government, research, and enterprise applications. 

With Invary, organizations gain the ability to verify the Runtime Integrity of both physical and virtual machines in their HPC clusters, ensuring their data remains confidential and protected from corruption or leakage.

[Image 1: "Invary Ensures Data Confidentiality Across Your HPC"]

Securing the Foundational Layers of HPC

Invary secures the foundational layers of HPC environments. By verifying the integrity of physical and virtual resources, such as storage, memory, and network interfaces, Invary provides assurance of a system's integrity. 

This ensures that customers can trust their data remains theirs, even in multi-tenant environments. Runtime integrity verification prevents unauthorized access or tampering, eliminating the risks of data crossing tenant boundaries or being accessed by malicious actors.

Essential Safeguards for Critical Government Systems

For critical government systems, where the stakes of a breach are exceptionally high, Invary's technology has become an essential safeguard. By continuously monitoring the runtime integrity of HPC clusters, Invary ensures that sensitive data is processed in a controlled and trustworthy environment. 

This capability is particularly valuable in environments where the compromise of confidential information could have national security implications.

Data Confidentiality Throughout the AI Lifecycle

Invary ensures data confidentiality throughout the AI lifecycle in HPC environments. From raw data preparation and training to the deployment of inference engines, Invary validates the integrity of the infrastructure at every stage. This eliminates vulnerabilities that could compromise the confidentiality of weights, metadata, or other proprietary information generated during the process. 

With Invary, organizations can confidently deploy multi-tenant HPC clusters, knowing their data is protected against corruption and unauthorized sharing.

Building Trust in High-Stakes Computing

In today’s interconnected and high-stakes computing landscape, ensuring data confidentiality is a necessity. Invary’s Runtime Integrity platform provides organizations with the assurance they need to leverage HPC clusters for critical workloads without compromising on trust or security.